Noise Control Engineering Journal最新文献_第5页

Case study: Empirical study on indoor environmental sound classification to support hearing-impaired persons 案例研究:室内环境声分类支持听障人士的实证研究

IF 0.4 4区工程技术

Noise Control Engineering Journal Pub Date : 2022-09-01 DOI: 10.3397/1/377034

M. Nakaya, T. Asakura

{"title":"Case study: Empirical study on indoor environmental sound classification to support hearing-impaired persons","authors":"M. Nakaya, T. Asakura","doi":"10.3397/1/377034","DOIUrl":"https://doi.org/10.3397/1/377034","url":null,"abstract":"Hearing-impaired persons often find it extremely difficult to catch and identify environmental sounds, which often include a wide variety of information types that would help them to function more effectively in their surrounding environments. Because of this, it would be very helpful\u0000 if such persons could be supported by providing them with various kinds of event information in the form of visual data. The ultimate purpose of this research is to classify various types of environmental sounds that can provide important clues from the viewpoint of safe-living and then apply\u0000 machine learning techniques to visually display that information in real time on smartglasses. Specifically, our method extracts the acoustic features of environmental sounds from their time-, frequency-, and time-frequency-domain characteristics and then classifies those sounds based on their\u0000 extracted features. Ultimately, such information will be visually displayed on smartglasses, thus allowing hearing-impaired persons to process those environmental sounds while continuing to observe the world around them in a normal manner. In this paper, the validity of our empirical and academic\u0000 research into machine learning-based environmental sound classifications is discussed.","PeriodicalId":49748,"journal":{"name":"Noise Control Engineering Journal","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45763714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An improved parallel narrowband active noise control system with local on-line secondary-path modeling equipped with frequency estimation algorithm 一种改进的窄带并行有源噪声控制系统，采用局部在线二次路径建模，并配备频率估计算法

IF 0.4 4区工程技术

Noise Control Engineering Journal Pub Date : 2022-09-01 DOI: 10.3397/1/377040

Han Wang, Honglin Sun, Ming Wu, Jianfeng Guo

引用次数: 0

Free and forced vibration analysis of a Z-shaped structure with multi-span elastic supports z型多跨弹性支承结构的自由与强制振动分析

IF 0.4 4区工程技术

Noise Control Engineering Journal Pub Date : 2022-09-01 DOI: 10.3397/1/377037

Wei Liu, Kai Shi, Jieyu Li, Hai-Zhen Sun, Qianghfu Zhao

引用次数: 0

Time-series prediction and forecasting of ambient noise levels using deep learning and machine learning techniques 使用深度学习和机器学习技术的时间序列预测和预测环境噪声水平

IF 0.4 4区工程技术

Noise Control Engineering Journal Pub Date : 2022-09-01 DOI: 10.3397/1/377039

Sourabh Tiwari, L. Kumaraswamidhas, Nakul Garg

{"title":"Time-series prediction and forecasting of ambient noise levels using deep learning and machine learning techniques","authors":"Sourabh Tiwari, L. Kumaraswamidhas, Nakul Garg","doi":"10.3397/1/377039","DOIUrl":"https://doi.org/10.3397/1/377039","url":null,"abstract":"Ambient day and night noise levels prediction problems have traditionally been addressed using various statistical and machine learning methods. This paper presents the time-series predictions and forecasting of ambient noise levels using support vector machine (SVM) and deep learning\u0000 method such as convolutional neural network (CNN) approach. This approach has been rarely reported for modeling ambient noise levels so far, although it has been widely used in air and water pollution predictions and forecasting. The study presents the applications of these techniques in time-series\u0000 modeling of ambient day and night equivalent noise levels. A case study of ambient noise levels of one site each lying in commercial, residential, industrial and silence zone is presented. Ten-fold cross-validation is used in SVM model to train the model effectively and determine the optimized\u0000 value of hyper-parameter (g, «, C). Also, CNN with a convolutional and pooling layer architecture framework is designed with optimum value of batch size, activation function, and filter size, among others. The validation and suitability of developed SVM and CNN models are ascertained\u0000 by various statistical tests. Convolutional neural network approach is observed to outperform SVM model and thus can be a reliable approach for time-series modeling of ambient noise levels with a prediction error of 2.1 dB(A). The forecasting root mean squared error obtained for all the four\u0000 zones using CNN model is observed to be less than 2.1 dB(A) for day equivalent noise levels and 1.9 dB(A) for night equivalent noise levels.","PeriodicalId":49748,"journal":{"name":"Noise Control Engineering Journal","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45239586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Perception of non-stationary wind noise in vehicles 车辆非平稳风噪声的感知

IF 0.4 4区工程技术

Noise Control Engineering Journal Pub Date : 2022-09-01 DOI: 10.3397/1/377036

Daniel Carr, P. Davies

引用次数: 1

Tunable sound packages consisting of granular aerogels and fibrous media 由颗粒气凝胶和纤维介质组成的可调谐声音包

IF 0.4 4区工程技术

Noise Control Engineering Journal Pub Date : 2022-09-01 DOI: 10.3397/1/377035

Y. Xue, Esmeralda Sanchez-Torres, B. Sharma, J. Bolton

{"title":"Tunable sound packages consisting of granular aerogels and fibrous media","authors":"Y. Xue, Esmeralda Sanchez-Torres, B. Sharma, J. Bolton","doi":"10.3397/1/377035","DOIUrl":"https://doi.org/10.3397/1/377035","url":null,"abstract":"In this study, two granular aerogel materials, both consisting of particles with sizes on the scale of 1 to 50 mm, were first investigated both theoretically and experimentally to improve our understanding of their acoustical behavior. Specifically, layers of the aerogels were evaluated\u0000 in terms of their sound absorption coefficients, and loss mechanisms in the frequency region below 2000 Hz were quantified for both aerogels by using a previously-developed modeling tool based on the Biot theory. Further studies were then conducted in order to optimize the acoustical performance\u0000 of potential sound packages featuring these aerogel particle stacks. For example, one of the aerogel materials was placed in series with a fibrous layer to take advantage of the low and high frequency sound absorption offered by the aerogel and the fibrous layers, respectively. The two types\u0000 of aerogels were also combined in parallel to show that absorption peaks of one of the materials could be used to compensate for the absorption “dips” of the other material. After experimentally validating the design concepts mentioned above, the aerogel granule stacks' properties\u0000 were tuned to realize a very low frequency and wideband sound absorption treatment when combined with the fibrous layer.","PeriodicalId":49748,"journal":{"name":"Noise Control Engineering Journal","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45803714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Health burden of road traffic noise in the EU in 2020–2035 2020-2035年欧盟道路交通噪声的健康负担

IF 0.4 4区工程技术

Noise Control Engineering Journal Pub Date : 2022-09-01 DOI: 10.3397/1/377038

E. Salomons, M. Dittrich

{"title":"Health burden of road traffic noise in the EU in 2020–2035","authors":"E. Salomons, M. Dittrich","doi":"10.3397/1/377038","DOIUrl":"https://doi.org/10.3397/1/377038","url":null,"abstract":"The negative health effects of road traffic noise in the EU are analyzed over the period 2020–2035. For a baseline scenario, with autonomous traffic growth and fleet development, we find that there will be 31 million highly annoyed persons and 15 million highly sleep-disturbed\u0000 persons in the EU in 2030. The corresponding EU health burden in 2030 is equivalent to the loss of 1.7 million “healthy life years”. Various noise abatement scenarios are analyzed, with noise solutions such as quiet road surfaces, quiet tires, and electric vehicles. The health\u0000 benefits of the scenarios are calculated as health-burden differences from the baseline scenario. The calculation methodology is based on the noise exposure distributions reported in 2017 by EU member states, for urban agglomerations and for major roads. Changes in noise exposure are calculated\u0000 with EU model Cnossos for vehicle emission, considering different types of roads (residential streets, main roads, motorways,...), and taking into account the separate contributions of rolling noise and propulsion noise to the vehicle emission. Two different noise valuation methods are used\u0000 to express the health benefits in Euros. The monetized health benefits are used as input for a cost-benefit analysis of the scenarios over the period 2020–2035. For quiet tires, for example, high health benefits and low costs are found, resulting in a high benefit-cost ratio. This work\u0000 was part of a study for the European Commission, exploring different options for reducing the EU health burden caused by noise from road, rail, and air traffic.","PeriodicalId":49748,"journal":{"name":"Noise Control Engineering Journal","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49491271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A method of generating car sounds based on granular synthesis algorithm 一种基于颗粒合成算法的汽车声音生成方法

IF 0.4 4区工程技术

Noise Control Engineering Journal Pub Date : 2022-07-01 DOI: 10.3397/1/377031

Liping Xie, Chihua Lu, Zhien Liu, Yawei Zhu, Weizhi Song

{"title":"A method of generating car sounds based on granular synthesis algorithm","authors":"Liping Xie, Chihua Lu, Zhien Liu, Yawei Zhu, Weizhi Song","doi":"10.3397/1/377031","DOIUrl":"https://doi.org/10.3397/1/377031","url":null,"abstract":"The active sound generation technique for automobiles, where car sounds can be synthesized by means of electronic sound production, is one of the effective methods to achieve the target sound. A method for active sound generation of automobile based on the granular synthesis algorithm\u0000 is put forward here to avoid the broadband beating phenomena that occur due to the mismatch of parameters of sound granular signals. The comparison of the function expression of sound signal and Hilbert transformation is performed based on the principle of overlap and add; moreover, those\u0000 parameters (phase, frequency and amplitude) of sound signals are interpolated by means of the Hermite interpolation algorithm which can ensure the continuity of the phase, frequency and amplitude curves. Thus, the transition audio is constructed by means of the sound signal function here to\u0000 splice the adjacent sound granules. Our simulations show that our method can be applied to solve the current broadband beating issue for splicing sound granules and achieve natural continuity of synthesized car sounds. The subjective test results also indicate that our transition audio can\u0000 produce high quality audio restitution.","PeriodicalId":49748,"journal":{"name":"Noise Control Engineering Journal","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47317814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Noise distribution law of air-conditioning ducts for metro vehicles 地铁车辆空调风管的噪声分布规律

IF 0.4 4区工程技术

Noise Control Engineering Journal Pub Date : 2022-07-01 DOI: 10.3397/1/377030

Xiaobo Liu, Zhongcheng Jiang, Xianfeng Wang, Dengke Li

{"title":"Noise distribution law of air-conditioning ducts for metro vehicles","authors":"Xiaobo Liu, Zhongcheng Jiang, Xianfeng Wang, Dengke Li","doi":"10.3397/1/377030","DOIUrl":"https://doi.org/10.3397/1/377030","url":null,"abstract":"The passenger comforts are directly affected by the air supply uniformity and noise of air-conditioning duct inside the metro vehicle. In order to solve the integrated design problem of air supply uniformity and noise control of air-conditioning ducts, a theoretical model is established\u0000 to analyze the air supply uniformity, noise attenuation, and airflow regeneration noise of the air-conditioning duct. The distribution law of the sound pressure level along the longitudinal air outlet was calculated, and the calculated results were compared with test ones. For a typical air\u0000 supply duct with a constant cross section: (1) In order to ensure air supply uniformity at the outlet of the static pressure chamber, the area of the side air hole should be gradually increased in an exponential form along the direction of the main flow, and cannot be designed in the equal\u0000 area form. (2) The airflow speed of each side hole decreased in sequence along the air duct length. In order to ensure the uniformity air supply of each side hole, the area of each side hole must be gradually increased. (3) The noise in the air conditioner duct was mainly concentrated at the\u0000 front end of the air duct, and the noise at the subsequent air outlet can fully meet the current requirements of subway vehicles for indoor noise. Therefore, the front end of the air duct is the most important area for noise control.","PeriodicalId":49748,"journal":{"name":"Noise Control Engineering Journal","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46412236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The use of artificial neural networks to predict tonal sound annoyance based on noise metrics and psychoacoustics parameters 基于噪声指标和心理声学参数，利用人工神经网络预测调性声音烦恼

IF 0.4 4区工程技术

Noise Control Engineering Journal Pub Date : 2022-07-01 DOI: 10.3397/1/377025

M. Sadeghian, Soroor Shekarizadeh, Milad Abbasi, S. Mousavi, Saeid Yazdanirad

{"title":"The use of artificial neural networks to predict tonal sound annoyance based on noise metrics and psychoacoustics parameters","authors":"M. Sadeghian, Soroor Shekarizadeh, Milad Abbasi, S. Mousavi, Saeid Yazdanirad","doi":"10.3397/1/377025","DOIUrl":"https://doi.org/10.3397/1/377025","url":null,"abstract":"The tonal noise of indoor mechanical systems causes an unpleasant sensation. The present study was conducted to predict tonal sound annoyance based on noise metrics and psychoacoustics parameters using artificial neural networks. Thirty-six signals of noise were produced by six tone\u0000 levels, three tone frequencies, and two background noise levels in an enclosed space. Then, noise metrics and psychoacoustic parameters of the signals were determined. Subsequently, 60 subjects were asked to express their subjective perception of annoyance during exposure to various noises.\u0000 Finally, the predictive model of annoyance was computed using the feed-forward neural networks. The initialization of weights and biases was performed using the Nguyen-Widrow method. The gradient descent with momentum and back-propagation algorithms were applied to learn the function and network\u0000 weights, respectively. Based on the results, higher tone level, higher background noise level, lower frequency, and less sharp noise significantly increased the value of the perceived annoyance. The obtained Kaiser-Mayer-Olkin coefficient of the model was equal to 0.8. The values of recognition\u0000 rate related to data of training and testing were computed by 0.83 and 0.91, respectively. The parameters of loudness, audible tone, and roughness compared to combined metrics were more substantial predictors of perceived annoyance.","PeriodicalId":49748,"journal":{"name":"Noise Control Engineering Journal","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42839321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0